In 2024, enterprises are likely to further embrace artificial intelligence (AI), machine learning (ML), and automation to meet their efficiency, service delivery, and productivity goals.
That's according to SolarWinds, who today (January 9) released its predictions for the IT trends and themes that will dominate in the year ahead.
As digital environments have become more modern and mature with the adoption of hybrid and multi-cloud deployments, they’ve also become infinitely more complex to migrate, monitor, and manage. With constrained resources, limited time, and mounting workloads, IT teams have embraced AI-powered automation to provide a critical lift.
In 2024, SolarWinds forecasts these themes—powered and accelerated by AI and machine learning—will shape the enterprise technology landscape.
Observability across the full tech stack will become a priority
According to SolarWinds research, the typical enterprise loses more than $13M annually to costs associated with the nine brownouts or outages experienced each month. Despite this, nearly half of IT professionals surveyed lack visibility into the majority of their organisation’s apps and infrastructure. AI-powered observability solutions address this by collecting data to provide information on what’s not performing as expected and why—allowing teams to take a proactive approach to eliminating downtime, innovating, and exceeding customer expectations.
Businesses will prioritise getting to the root of database issues
One-third of IT professionals surveyed manage upwards of 300 databases. In 2024, teams will embrace AI and automation to ensure the health, stability, and scalability of their services. In addition to the ability to identify issues at their root cause, IT teams will benefit from real-time issue remediation, understanding database implications as new code is deployed, and even avoiding costly outages.
Organisations will embrace Artificial Intelligence for IT Operations (AIOps) to support busy teams
With AIOps, organisations can integrate data from across complex hybrid IT environments and receive the actionable, predictive intelligence they need to optimise performance, resolve issues quickly, and relieve pressure on IT teams. Furthermore, AIOps are paving the way toward autonomous operations, which will require little to no human intervention.
As AI becomes more sophisticated and its application more widespread—from consumer uses like ChatGPT to impactful enterprise implementations like automated service delivery and anomaly detection—it’s no longer the presence of AI that’s notable, but the application of it.
Jeff Stewart, VP of Global Solutions Engineering at SolarWinds
IT Service Management (ITSM) will support faster, more successful IT outcomes
On average, research shows that organisations surveyed who adopted AI-powered tools to meet their ITSM needs were able to reduce system downtime by 21% and decrease time spent resolving incident and service requests by 23%. Features such as virtual troubleshooting agents and guided incident resolution will continue to support the workload of IT teams in 2024. In fact, SolarWinds Service Desk customers surveyed reported saving 23 hours per week due to reduced ticket volume—nearly the equivalent of adding an extra employee to their team.
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For more information about SolarWinds Observability and ITSM solutions built to optimise today's hybrid IT environments, visit: https://www.solarwinds.com/
